Intention recognition via causal bayes networks plus plan generation

Luís Moniz Pereira, Han The Anh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent to come up with the most likely intentions of the intending agent, i.e. solve one main issue of intention recognition; and, in case of having to make a quick decision, focus on the most important ones. Furthermore, the combination with plan generation provides a significant method to guide the recognition process with respect to hidden actions and unobservable effects, in order to confirm or disconfirm likely intentions. The absence of this articulation is a main drawback of the approaches using Bayes Networks solely, due to the combinatorial problem they encounter.

Original languageEnglish
Title of host publicationProgress in Artificial Intelligence
Subtitle of host publication14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Proceedings
EditorsLS Lopes, N Lau, P Mariano, L Rocha
PublisherSpringer
Pages138-149
Number of pages12
Volume5816
ISBN (Print)3642046851, 9783642046858
DOIs
Publication statusPublished - 2009
EventProgress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence -
Duration: 1 Jan 2009 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5816 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceProgress in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence
Period1/01/09 → …

Keywords

  • ASCP
  • Causal Bayes Networks
  • Intention recognition
  • Logic Programming
  • P-log
  • Plan generation

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